Intermediate Mobile Developer (React Native / .Net MAUI)

Job Specifics

• Role Title: Intermediate Software Engineer
  
• Primary Stack: React Native OR .NET MAUI (iOS & Android)
  
• Experience Level: Intermediate (3- 5 years overall software development)
  
• Key Requirement: Demonstrated Proof of Execution (POE) using AI-assisted development tools to drive rapid shipping schedules.
  

Position Overview

Key Responsibilities

• Mobile Architecture & Delivery: Design, build, and deploy high-quality cross-platform applications for iOS and Android using React Native (TypeScript) or .NET MAUI (C# / XAML).
  
• AI-Augmented Development (POE): Actively integrate modern AI tools into daily workflows to increase velocity across the entire SDLC from boilerplate generation and API integration to debugging and unit test creation.
  
• Feature Execution: Collaborate with product managers and UI/UX designers to translate requirements into responsive, production-ready mobile screens and clean backend integrations.
  
• Quality Assurance: Maintain robust codebases through automated unit testing, end-to-end testing, and efficient CI/CD pipelines.
  

Requirements

Core Technical Skills:

• 3+ years experience in mobile application development.
  
• Hands-on proficiency in ONE of the following:
  

• React Native: TypeScript, JavaScript, Redux/Zustand, React Navigation, and native module bridging.
  
• .NET MAUI: C#, XAML, MVVM pattern, dependency injection, and migration/cross-platform deployment mechanics.
  

• Solid understanding of consume-ready RESTful APIs, GraphQL, and state management patterns. (integration knowledge specifically)
  
• Familiarity with publishing apps to the Apple App Store and Google Play Store (Nice to have – not a must have)
  

AI Fluency & Proof of Execution (Mandatory):

• Active user of AI tooling: Proven track record of using tools like GitHub Copilot, Cursor, Windsurf, Claude, or ChatGPT in day-to-day coding workflows.
  
• Prompt Engineering for Code: Ability to structure complex prompts, provide contextual constraints, and evaluate AI-generated outputs for security, accuracy, and architectural alignment.
  
• Verifiable Velocity: Demonstrated ability to ship features significantly faster than conventional timelines by leveraging AI for boilerplate, documentation, testing, and troubleshooting.
  

Application Process

Applications will be reviewed against the requirements of the position, and shortlisted candidates will be contacted to discuss the opportunity further.

Please note: Only shortlisted candidates will be contacted. If you have not received feedback within two weeks of submitting your application, please consider your application unsuccessful on this occasion.

Your details may, however, be retained in accordance with applicable data protection requirements and considered for other suitable opportunities, where appropriate.